AI Architect | North Carolina | AI/ML, IoT, science
WARNING: I talk about kids sometimes
Founding Researcher @ Stealth Startup & Inria & MVA. Ex: Llama @AIatMeta; Gemini and BYOL @GoogleDeepMind. LLMs, RL, alignment.
I am an assistant professor of robotics at Michigan. I run the fluent robotics lab with the mission of enabling robots to fluently work with and around people. fluent.robotics.umich.edu
Researcher @ Microsoft | ex. PhD @ CISPA | Neurodivergent 🧠🦋 | AI safety & security | life and peace for all ☮️, permanent ceasefire 🍉
Opinions my own.
prev: @BrownUniversity, @uwcse/@uw_wail phd, ex-@cruise, RS @waymo. 0.1x engineer, 10x friend.
spondyloarthritis, cars ruin cities, open source
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Assist. Prof. at Cornell University.
I like cycling, mathematics, statistics and computer science.
🥇 LLMs together (co-created model merging, BabyLM, textArena.ai)
🥈 Spreading science over hype in #ML & #NLP
Proud shareLM💬 Donor
@IBMResearch & @MIT_CSAIL
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml
chhaviyadav.org
Associate Professor, CMU. Researcher, Google. Evaluation and design of information retrieval and recommendation systems, including their societal impacts.
Sterling Professor of Social and Natural Science at Yale University. Sociologist. Network Scientist. Physician. Author of Apollo's Arrow; Blueprint; Connected; and Death Foretold. Director of the Human Nature Lab: https://humannaturelab.net
Building generative models for high-dimensional science and engineering.
Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT
https://nmboffi.github.io
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Number theorist at UMontreal, author of “The Distribution of Prime Numbers” http://bookstore.ams.org/gsm-203
mischief executive officer
https://afedercooper.info
PhD Student @ Wisconsin | 3D Vision with Miniature ToF Sensors, Robot Sensing, Computational Imaging
https://cpsiff.github.io
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Open source, open science, AI in science for earth/ice and healthcare. IPython creator, @projectjupyter.bsky.social and 2i2c.org co-founder.
Prof @ UC Berkeley Stats, director of @ucbids.bsky.social, co-director @schmidtdse.bsky.social; LBL scientist.
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Machine learning researcher, working on causal inference and healthcare applications
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
kmicinski.com
Interested in automated reasoning, static analysis, and logic programming and literally nothing else.
Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Assistant Professor of CS at UCLA
Machine learning, Optimization, Data-efficient learning
Assistant Professor at ASU WP Carey
website: https://papachristoumarios.github.io/
Opinions are my own.
Assistant Professor @JohnsHopkins.
.
Optimization and Machine Learning.
nicolasloizou.github.io
Assistant Professor at UC San Diego
Ph.D. student at UW-Madison. Working on automating foundation model guided science. Previously at CMU, UCSD, Fresno City College.
https://nick11roberts.science
Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
Director, MIT Computational Psycholinguistics Lab. President, Cognitive Science Society. Chair of the MIT Faculty. Open access & open science advocate. He.
Lab webpage: http://cpl.mit.edu/
Personal webpage: https://www.mit.edu/~rplevy
I think, I write, sometimes I bleep? skeet? bleat? |
Read essays here https://www.strangeloopcanon.com |
Read the book here http://amazon.com/dp/B0CJ9F327M |
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
Engineering prof at TU/e | demand side energy management | connected communities | CityLearn
@MIT Postdoctoral Researcher.
Researcher in Optimization and Machine Learning. #FlyEaglesFly
CS professor at NYU. Large language models and NLP. he/him
Professor of Computer Science at UT Austin and Visiting Researcher at Google Deepmind, London. Automated Reasoning + Machine Learning + Formal Methods. https://www.cs.utexas.edu/~swarat
Assistant Professor of CS at CU Boulder. I research statistical & geospatial machine learning.
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her
https://psamathe50.github.io/sikatasengupta/
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
AI Scientist at Mistral AI.
Past: Google DeepMind.
🇧🇷 in 🇬🇧
Researcher in NLP, ML, computer music. Prof @uwcse @uwnlp & helper @allen_ai @ai2_allennlp & familiar to two cats. Single reeds, tango, swim, run, cocktails, מאַמע־לשון, GenX. Opinions not your business.
PhD at 19 |
Founder and CEO at @MedARC_AI |
Research Director at @StabilityAI |
@kaggle Notebooks GM |
Biomed. engineer @ 14 |
TEDx talk➡https://bit.ly/3tpAuan
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Associate Professor & Co-Founder - Dynamical Deep Learning
AI research scientist at Google Deepmind, Zürich
modeling modeling @ workshoplabs.ai
prev @ mit.edu
more @ tim0120.github.io
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Associate professor at the University of Chicago. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.github.io/
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
@Stanford Professor. AI for science and medicine.
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora.
http://alberto.bietti.me
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group
Interested in AI safety and interpretability
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
@PyTorch "My learning style is Horace twitter threads" -
@typedfemale
Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
Partner Research Manager at Microsoft Research NYC. AI, Economics, Decision Science.
Interpretable Deep Networks. http://baulab.info/ @davidbau
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
A latent space odyssey
gracekind.net
Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social
https://sakana.ai/careers
Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
Machine Learning enthusiast - Assistant Professor at UW Madison
aligning interests at https://marathon.vc
https://www.linkedin.com/in/tziralis/
Llama Farmer
Ex CLO Hugging Face, Xoogler
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
faculty at UW CSE studying experimental design and reinforcement learning
AI research @ Meta, Opinions @ my own
Associate professor of statistics and data science at UPenn
https://huggingface.co/KnutJaegersberg
https://willett.psd.uchicago.edu/
Worah Family Professor, University of Chicago
National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/)
Institute for AI in the Sky (SkAI, https://skai-institute.org/)
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.
research scientist at google deepmind.
co-author of JAX (https://github.com/jax-ml/jax).
https://cs.stanford.edu/~rfrostig
Professor @RPI
Statistical inference, ML, Info theory
web: https://www.isg-rpi.com
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
Associate Professor, Texas A&M University (TAMU).
Areas of interest: Reinforcement Learning, Machine Learning
Researcher in ML and Privacy.
PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH
https://mhaghifam.github.io/mahdihaghifam/
context maximizer
https://gleech.org/
AI Researcher/Engineer | CS PhD from
Boston University
AI at Microsoft Research.
If universe is an optimizer, what is its loss function?
Code infra lead for Phi series of models.
Some Open Source Projects: Airsim, TensorWatch, Archai, NanuGPT
All opinions are my own.
